Emely (Emely-lee)

Emely-lee

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonLicense:Apache-2.0Stargazers:130107Issues:1119Issues:15376

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Language:C++License:Apache-2.0Stargazers:25912Issues:912Issues:5235

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

Language:Jupyter NotebookStargazers:15554Issues:383Issues:39

PRML

PRML algorithms implemented in Python

Language:Jupyter NotebookLicense:MITStargazers:11354Issues:419Issues:24

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

Language:Jupyter NotebookLicense:MITStargazers:8231Issues:303Issues:24

MTCNN_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

Language:MATLABLicense:MITStargazers:2809Issues:150Issues:57

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

Language:PythonLicense:CC0-1.0Stargazers:2361Issues:131Issues:0

GMVAE

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

Language:PythonLicense:MITStargazers:298Issues:4Issues:7

vae_vampprior

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Language:PythonLicense:MITStargazers:221Issues:5Issues:5

GMVAE

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

VAE-GMVAE

This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures

Language:PythonLicense:Apache-2.0Stargazers:203Issues:10Issues:11

team-learning-sql

主要存储Datawhale组队学习中“SQL”方向的资料。

tennessee-eastman-profBraatz

The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).

Language:FortranLicense:NOASSERTIONStargazers:122Issues:6Issues:5

higgsml

Repository for post higgs-competition model submission

Language:C++License:NOASSERTIONStargazers:26Issues:4Issues:0

Inferential_Sensor_Experiment

Soft Sensor with Variational Inference Technique

Language:PythonLicense:Apache-2.0Stargazers:16Issues:1Issues:0

spark-parSketch

Massively Distributed Indexing of Time Series

Language:ScalaLicense:Apache-2.0Stargazers:3Issues:0Issues:0